Database Engineer

Our client is an innovative company that has been dynamically contributing to the digitalization processes of enterprises, offering advanced solutions in the areas of Big Data, Kubernetes, cloud services, and microservices technology. Through collaboration with certified partners, such as the Snowflake platform, the company enables its clients to effectively implement and integrate cutting-edge technologies, supporting them in becoming more competitive in the digital market. We are looking for talented IT specialists who would like to join our team and work on digital transformation projects, cloud solution implementations, Kubernetes cluster audits and optimizations, as well as developing platforms for ESG reporting and commission calculation automation. If you are ready for challenges in a rapidly developing industry and want to have a real impact on shaping the future of technology, join us! Database Engineer (working with PostgreSQL) location: Warszawa Position Description Working on projects based on PostgreSQL, data warehouses, and systems processing very large volumes of informationCo-developing a key banking application responsible for revenue management and stock reconciliation, working in a unique multi-cloud environment (AWS and GCP)Developing competencies in DWH, data integration, and database solutionsWorking on advanced PostgreSQL engine management, including MVCC mechanisms (Xmin/Xmax), Vacuum processes, and the selection of custom indexes such as BRIN We Expect You Have At least 5 years of experience on similar positionGood PostgreSQL knowledgeWorking with structures containing billions of records and terabytes of data, understanding how to ensure their efficient processingOptimizing queries and long-running processes, even those lasting many hoursAbility to analyze query execution plans and quickly identify bottlenecksFamiliarity with working with stored procedures and the ability to use them effectivelyGood knowledge of PythonAbility to handle L2-level performance problem solvingAbility to analyze data and problems from various sourcesAbility to analyze system logs and use extensions such as pg_stat_statements to identify blocking processes and bottlenecks.Knowledge of data partitioning (especially by date) to optimize searches in terabyte-sized tablesExperience working at the L2 level, i.e., solving problems and maintaining processes in a production environmentVery good English skills (B2/C1) We Offer Attractive salaryClear plan and support for professional development;Technological and development challenges, including in the areas of data and data analysis;Benefits package: medical care, insurance, sports card;Unrivaled working atmosphere. 1